iou(交并比)的概念

               交并比(Intersection-over-Union,IoU),目标检测中使用的一个概念,是产生的候选框(candidate bound)与原标记框(ground truth bound)的交叠率,即它们的交集与并集的比值。最理想情况是完全重叠,即比值为1。

计算公式:

def calculateIoU(candidateBound, groundTruthBound):
    cx1 = candidateBound[0]
    cy1 = candidateBound[1]
    cx2 = candidateBound[2]
    cy2 = candidateBound[3]
 
    gx1 = groundTruthBound[0]
    gy1 = groundTruthBound[1]
    gx2 = groundTruthBound[2]
    gy2 = groundTruthBound[3]
 
    carea = (cx2 - cx1) * (cy2 - cy1) #C的面积
    garea = (gx2 - gx1) * (gy2 - gy1) #G的面积
 
    x1 = max(cx1, gx1)
    y1 = max(cy1, gy1)
    x2 = min(cx2, gx2)
    y2 = min(cy2, gy2)
    w = max(0, abs(x2 - x1))
    h = max(0, abs(y2 - y1))
    area = w * h #C∩G的面积
 
    iou = area / (carea + garea - area)
 
    return iou

转载地址:https://blog.csdn.net/mdjxy63/article/details/79343733

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转载自blog.csdn.net/qq_30638831/article/details/83653558
IOU